Allocating and extrapolating data for augmented reality

ABSTRACT

Global position system tagging the movement of an object and extrapolating its direction and speed can be used for various services including emergency-based services. Location data can be computed using edge computing nodes. The extrapolation system can account for feedback from responding user devices and utilize the user device&#39;s location at the time of reporting to facilitate determining the direction, location, and/or speed of a moving object. This data can then be utilized to generate augmented reality displays for mobile devices and/or vehicles that utilize the system. The ability to calculate directional information with edge computing nodes can comprise an ability to add enriched data by predicting an object&#39;s whereabouts, route, and/or final destination.

RELATED APPLICATION

The subject patent application is a continuation of, and claims priorityto, U.S. patent application Ser. No. 16/364,916 (now U.S. Pat. No.10,970,902), filed Mar. 26, 2019, and entitled “ALLOCATING ANDEXTRAPOLATING DATA FOR AUGMENTED REALITY FOR 6G OR OTHER NEXT GENERATIONNETWORK,” the entirety of which application is hereby incorporated byreference herein.

TECHNICAL FIELD

This disclosure relates generally to facilitating augmented reality. Forexample, this disclosure relates to allocating and extrapolating datafor augmented reality for a 6G, or other next generation network.

BACKGROUND

Augmented reality (AR) is an interactive experience of a real-worldenvironment where the objects that reside in the real-world are“augmented” by computer-generated perceptual information, sometimesacross multiple sensory modalities, including visual, auditory, haptic,somatosensory, and olfactory. The overlaid sensory information can beconstructive (e.g., additive to the natural environment) or destructive(e.g., masking of the natural environment) and is seamlessly interwovenwith the physical world such that it is perceived as an immersive aspectof the real environment. In this way, augmented reality alters one'songoing perception of a real-world environment, whereas virtual realitycompletely replaces the user's real-world environment with a simulatedenvironment. Augmented reality is related to two largely synonymousterms: mixed reality and computer-mediated reality.

The above-described background relating to augmented reality is merelyintended to provide a contextual overview of some current issues, and isnot intended to be exhaustive. Other contextual information may becomefurther apparent upon review of the following detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosureare described with reference to the following figures, wherein likereference numerals refer to like parts throughout the various viewsunless otherwise specified.

FIG. 1 illustrates an example wireless communication system in which anetwork node device (e.g., network node) and user equipment (UE) canimplement various aspects and embodiments of the subject disclosure.

FIG. 2 illustrates an example schematic system block diagram of a mobilenetwork architecture according to one or more embodiments.

FIG. 3 illustrates an example schematic system block diagram of networkslicing according to one or more embodiments.

FIG. 4 illustrates an example system for communication to facilitateaugmented reality according to one or more embodiments.

FIG. 5 illustrates an example flow diagram to facilitate augmentedreality according to one or more embodiments.

FIG. 6 illustrates an example flow diagram of a method for facilitatingaugmented reality according to one or more embodiments.

FIG. 7 illustrates an example flow diagram of a system for facilitatingaugmented reality according to one or more embodiments.

FIG. 8 illustrates an example flow diagram of a machine-readable mediumfor facilitating augmented reality according to one or more embodiments.

FIG. 9 illustrates an example block diagram of an example mobile handsetoperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

FIG. 10 illustrates an example block diagram of an example computeroperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

DETAILED DESCRIPTION

In the following description, numerous specific details are set forth toprovide a thorough understanding of various embodiments. One skilled inthe relevant art will recognize, however, that the techniques describedherein can be practiced without one or more of the specific details, orwith other methods, components, materials, etc. In other instances,well-known structures, materials, or operations are not shown ordescribed in detail to avoid obscuring certain aspects.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics may be combined in any suitable manner in one or moreembodiments.

As utilized herein, terms “component,” “system,” “interface,” and thelike are intended to refer to a computer-related entity, hardware,software (e.g., in execution), and/or firmware. For example, a componentcan be a processor, a process running on a processor, an object, anexecutable, a program, a storage device, and/or a computer. By way ofillustration, an application running on a server and the server can be acomponent. One or more components can reside within a process, and acomponent can be localized on one computer and/or distributed betweentwo or more computers.

Further, these components can execute from various machine-readablemedia having various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, a local areanetwork, a wide area network, etc. with other systems via the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. As yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can include one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components. In an aspect, a componentcan emulate an electronic component via a virtual machine, e.g., withina cloud computing system.

The words “exemplary” and/or “demonstrative” are used herein to meanserving as an example, instance, or illustration. For the avoidance ofdoubt, the subject matter disclosed herein is not limited by suchexamples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that theterms “includes,” “has,” “contains,” and other similar words are used ineither the detailed description or the claims, such terms are intendedto be inclusive—in a manner similar to the term “comprising” as an opentransition word—without precluding any additional or other elements.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationschemes and/or systems (e.g., support vector machines, neural networks,expert systems, Bayesian belief networks, fuzzy logic, and data fusionengines) can be employed in connection with performing automatic and/orinferred action in connection with the disclosed subject matter.

In addition, the disclosed subject matter can be implemented as amethod, apparatus, or article of manufacture using standard programmingand/or engineering techniques to produce software, firmware, hardware,or any combination thereof to control a computer to implement thedisclosed subject matter. The term “article of manufacture” as usedherein is intended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, or machine-readable media. Forexample, computer-readable media can include, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media.

As an overview, various embodiments are described herein to facilitateaugmented reality for a 6G interface or other next generation networks.For simplicity of explanation, the methods (or algorithms) are depictedand described as a series of acts. It is to be understood andappreciated that the various embodiments are not limited by the actsillustrated and/or by the order of acts. For example, acts can occur invarious orders and/or concurrently, and with other acts not presented ordescribed herein. Furthermore, not all illustrated acts may be requiredto implement the methods. In addition, the methods could alternativelybe represented as a series of interrelated states via a state diagram orevents. Additionally, the methods described hereafter are capable ofbeing stored on an article of manufacture (e.g., a machine-readablestorage medium) to facilitate transporting and transferring suchmethodologies to computers. The term article of manufacture, as usedherein, is intended to encompass a computer program accessible from anycomputer-readable device, carrier, or media, including a non-transitorymachine-readable storage medium.

It should be noted that although various aspects and embodiments havebeen described herein in the context of 6G, the disclosed aspects arenot limited to 6G, a UMTS implementation, and/or an LTE implementationas the techniques can also be applied in 3G, 4G, 5G, or LTE systems. Forexample, aspects or features of the disclosed embodiments can beexploited in substantially any wireless communication technology. Suchwireless communication technologies can include UMTS, Code DivisionMultiple Access (CDMA), Wi-Fi, Worldwide Interoperability for MicrowaveAccess (WiMAX), General Packet Radio Service (GPRS), Enhanced GPRS,Third Generation Partnership Project (3GPP), LTE, Third GenerationPartnership Project 2 (3GPP2) Ultra Mobile Broadband (UMB), High SpeedPacket Access (HSPA), Evolved High Speed Packet Access (HSPA+),High-Speed Downlink Packet Access (HSDPA), High-Speed Uplink PacketAccess (HSUPA), Zigbee, or another IEEE 802.XX technology. Additionally,substantially all aspects disclosed herein can be exploited in legacytelecommunication technologies.

Described herein are systems, methods, articles of manufacture, andother embodiments or implementations that can facilitate augmentedreality for a 6G network. Facilitating augmented reality for a 6Gnetwork can be implemented in connection with any type of device with aconnection to the communications network (e.g., a mobile handset, acomputer, a handheld device, etc.) any Internet of things (TOT) device(e.g., toaster, coffee maker, blinds, music players, speakers, etc.),and/or any connected vehicles (cars, airplanes, space rockets, and/orother at least partially automated vehicles (e.g., drones)). In someembodiments the non-limiting term user equipment (UE) is used. It canrefer to any type of wireless device that communicates with a radionetwork node in a cellular or mobile communication system. Examples ofUE are target device, device to device (D2D) UE, machine type UE or UEcapable of machine to machine (M2M) communication, PDA, Tablet, mobileterminals, smart phone, laptop embedded equipped (LEE), laptop mountedequipment (LME), USB dongles etc. Note that the terms element, elementsand antenna ports can be interchangeably used but carry the same meaningin this disclosure. The embodiments are applicable to single carrier aswell as to multicarrier (MC) or carrier aggregation (CA) operation ofthe UE. The term carrier aggregation (CA) is also called (e.g.interchangeably called) “multi-carrier system”, “multi-cell operation”,“multi-carrier operation”, “multi-carrier” transmission and/orreception.

In some embodiments the non-limiting term radio network node or simplynetwork node is used. It can refer to any type of network node thatserves UE is connected to other network nodes or network elements or anyradio node from where UE receives a signal. Examples of radio networknodes are Node B, base station (BS), multi-standard radio (MSR) nodesuch as MSR BS, eNode B, network controller, radio network controller(RNC), base station controller (BSC), relay, donor node controllingrelay, base transceiver station (BTS), access point (AP), transmissionpoints, transmission nodes, RRU, RRH, nodes in distributed antennasystem (DAS) etc.

Cloud radio access networks (RAN) can enable the implementation ofconcepts such as software-defined network (SDN) and network functionvirtualization (NFV) in 6G networks. This disclosure can facilitate ageneric channel state information framework design for a 6G network.Certain embodiments of this disclosure can comprise an SDN controllerthat can control routing of traffic within the network and between thenetwork and traffic destinations. The SDN controller can be merged withthe 6G network architecture to enable service deliveries via openapplication programming interfaces (“APIs”) and move the network coretowards an all internet protocol (“IP”), cloud based, and softwaredriven telecommunications network. The SDN controller can work with, ortake the place of policy and charging rules function (“PCRF”) networkelements so that policies such as quality of service and trafficmanagement and routing can be synchronized and managed end to end.

An LTE network can be a policy-based traffic management architecturewith a PCRF element traditionally controlling the QoS levels and otherinformation (priorities bandwidths, etc.) that manages IP flows thatcarries a particular application (such as voice, video, messaging,etc.). This policy-based mechanism applies to the IP traffic between themobile device and the packet data network gateway (“PGW”). In anembodiment of the subject disclosure, software defined networking can beused to provide routing and traffic control for packets sent from thePGW to a destination address. In some embodiments, the SDN controllercan also provide traffic control for packets from the mobile device tothe destination in some embodiments.

The PCRF and the SDN controller can also communicate about some aspectsof a particular application flow so that routing decisions both in theaccess network (between eNodeB and PGW) as well as in the backbone canbe made based on the nature of the application and how that particularflow was expected to be treated based on operator policies and usersubscription. For example, if a higher QoS is to be applied to a trafficflow carrying voice packet, the service related information such as QoScan be used by SDN controller to make decisions such as mapping androute optimizations. This can enable the entire network to beapplication aware with a consistent treatment of the packets.

Radio access network abstraction can provide a separation between thephysical radios and a logical view of the network. It can provide aholistic view of a pool of various radio resources from various radiotechnologies. This can allow a network controller to make an intelligentdecision on what radio to use to deliver a service based on applicationrequirements. The radio access network abstraction can also have adynamic learning capability to constantly update the network view of theradio resources upon adding, changing, removing and/or modifying theresources.

Under this framework, various applications (e.g., smart city, connectedcars) and/or various customers (e.g., General Motors, Amazon, etc.) canask for different services or technologies. Based on their service needs(e.g. latency, speed, etc.), the intelligent control can pick and chooseaccess, backhaul, and/or service delivery based on this framework.

As shown in the figures, an abstraction layer can separate the physicalradios and logical view of the radio network. The figures provide aholistic view of various radio resources from various radiotechnologies. In addition, the radio network graph can also have apresentation on network slices and their corresponding characteristics.The logical view and access can allow an SDN controller to makeintelligent decisions based on the conditions, radio technology, andwhat slice to use to deliver a service based on applicationrequirements.

Global positioning system (GPS) tagging the movement of an object andextrapolating its direction and speed can be used for various purposes(e.g., amber alert police location, vehicle tracking, etc.). It canaccount for feedback from responding users and the user's location atthe time of reports to assist in determining and extrapolating thedirection that a police car, or an amber alert vehicle, is moving.

The ability to geo tag a message while the sender reports an incident ora sighting can be further complicated when either the sender or theobject is moving at a certain speed and direction. This can provide anextremely inaccurate picture/info of the location of the object, even ifreports are being collected from multiple sources. For instance, ifthere is an amber alert active and every driver is reporting theirsighting to a central database, the actual location and possibledirection of an object can be far from what is being reported.

Next generation onboard augmented reality (AR)/virtual reality (VR)solutions can comprise fixed and variable information that can either bepreloaded or can be offloaded from a network database (e.g., a fixedpoint of interest (POI) or building). However, to include entities withvariable locations in the AR/VR environment, an onboarding unit (OBU)can collect information from sensory or other onboard devices such as:satellites, moving vehicles, drones, etc. To correctly identify andpredict the location, current heading, and/or speed of the object, thesighting can be collected from a number of sources while the sources arestationary or moving. The information can be collected with an edgecomputing node to extrapolate the information in different categories,including but not limited to: type of the device reporting the sighting,whether the device is stationary, whether the device is moving (e.g.,phone speed cameras, drones . . . ), and/or a combination with time ofthe report, etc. The information can be used to extrapolate the locationof the object and also the direction and the speed of the object. Theability to calculate the information with edge computing nodes can alsocomprise an ability to add more enriched information by prediction ofthe object's whereabouts. Edge computing is a distributed computingparadigm in which computation is largely or completely performed ondistributed device nodes known as smart devices or edge devices asopposed to primarily taking place in a centralized cloud environment.

The system can integrate with existing resources such as surveillancecameras and law enforcement drones to get a confirmation of the objectslocation. This solution can also be used by applications such as Googleor Waze, which are used to alert drivers of an accident, police vehicleson the route some is traveling, etc. The crowd-sourced information canprovide the edge computing node with the ability to extrapolate theexact location of the object and the direction and speed the object isheaded. Thus, the application can keep a driver informed at any giventime.

6G network slicing capabilities can enable the edge computing of thereceived GPS latitude and longitude, by either instantiating thededicated slice or reusing the existing slice to enable allocation ofdetails about the target moving object by accessing the informationgathered via the GPS enabled participants. By utilizing a dedicatedslice, existing resources such as traffic cameras, drones, and otheravailable resources can be enabled to participate in necessaryconfirmation and contribute additional measurement data to moreprecisely locate the target. The network slice can be dedicated for aspecific network function (e.g., extended reality, augmented reality,and/or virtual reality) to manage and allocate network resources. Forexample, currently when an application session begins, the session caneither instantiate the slice or tap into a slice that is already there.So once a consumer begins consuming a service, the slice is alreadyactive for that service. Thus, the XR can have its own specific slice.

When the data is sent to a media access control layer (MAC), the MAClayer can send the data to an access layer via a service layer. A numberof reports (to a MAC platform) can be used from a variety of devices(e.g., vehicle, drone, camera, etc.) to confirm a status associated withan object and/or an event. The reports from the variety of devices canincrease the probability that the event has actually occurred. This datacan be routed to a mobile computing center by utilizing high processingand storage capabilities. The data can be received and validated priorto being sent back to subscribers of the system. For example, the data(e.g., photographs, videos, etc.) can be geo-tagged with a location anda direction of which way an object is moving.

By extrapolating the data (e.g., photo, video, longitude, latitude,timestamp, intersection, etc.) provided from devices that observe theobject, the data can be used to determine a specific way to highlight(e.g., different size, specific color, specific shape, etc.) anaugmented and/or virtual reality representation of that object. Thus,the subscriber can see what the object is (e.g., what type of vehicle),how fast it is moving, which direction it is headed, etc. For example,while a user in a vehicle is observing an emergency services vehiclecrossing an intersection, an AR view or icon of the emergency servicesvehicle can pop up on a heads-up display of the user's vehicle. Based ondata curated by the system, the heads-up display can continue to showthe AR view of the emergency services vehicle even if the user can nolonger physically see the emergency services vehicle. The AR realityview can comprise an actual and/or predicted direction of the emergencyservices vehicle. Additionally, data generated by the user's vehicle,regarding the emergency services vehicle, can be sent to the system ordirectly to other vehicles in the vicinity to assist in the generatingof AR/VR representations of the emergency services vehicle for otheruser vehicles.

The system can inform the user with an accurate depiction (e.g., AR, VR,video, picture(s), etc.) of an upcoming traffic status includingwhereabouts of police and emergency vehicles and the speed and directionthey are heading. The system can also reduce false sighting, and enrichthe information with by using data from other resources such as spedcameras and emergency drones.

In one embodiment, described herein is a method comprising generating,by a vehicle comprising a processor, first object data representative ofa first location of an object sensed by the vehicle. In response to thegenerating, the method can comprise transmitting, by the vehicle, thefirst object data to a wireless network device to facilitate anaugmented reality representation of the object. Additionally, inresponse to the transmitting, the method can comprise receiving, by thevehicle, second object data representative of a second location of theobject from the wireless network device. Furthermore, based on thereceiving the second object data, the method can comprise generating, bythe vehicle, augmented reality data representative of the secondlocation of the object.

According to another embodiment, a system can facilitate receiving, frommobile devices of a wireless network, description data associated withan object visible to the mobile devices. In response to the receivingthe description data, the system can facilitate generating augmentedreality data representative of the object. Furthermore, in response tothe generating the augmented reality data, the system can facilitatesending the augmented reality data to a mobile device, of the mobiledevices, to facilitate an augmented reality display representative ofthe object by the mobile device.

According to yet another embodiment, described herein is amachine-readable storage medium that can perform the operationscomprising receiving, from wireless network devices of a wirelessnetwork, image data associated with an object visible to the wirelessnetwork devices. Based on a condition associated with a number of thewireless network devices being determined to have been satisfied, themachine-readable storage medium can perform the operations comprisingdetermining an accuracy of the image data. Additionally, in response tothe determining the accuracy of the image data, the machine-readablestorage medium can perform the operations comprising facilitatingdisplaying a virtual reality representation of the object via a wirelessnetwork device of the wireless network devices.

These and other embodiments or implementations are described in moredetail below with reference to the drawings.

Referring now to FIG. 1, illustrated is an example wirelesscommunication system 100 in accordance with various aspects andembodiments of the subject disclosure. In one or more embodiments,system 100 can comprise one or more user equipment UEs 102. Thenon-limiting term user equipment can refer to any type of device thatcan communicate with a network node in a cellular or mobilecommunication system. A UE can have one or more antenna panels havingvertical and horizontal elements. Examples of a UE comprise a targetdevice, device to device (D2D) UE, machine type UE or UE capable ofmachine to machine (M2M) communications, personal digital assistant(PDA), tablet, mobile terminals, smart phone, laptop mounted equipment(LME), universal serial bus (USB) dongles enabled for mobilecommunications, a computer having mobile capabilities, a mobile devicesuch as cellular phone, a laptop having laptop embedded equipment (LEE,such as a mobile broadband adapter), a tablet computer having a mobilebroadband adapter, a wearable device, a virtual reality (VR) device, aheads-up display (HUD) device, a smart car, a machine-type communication(MTC) device, and the like. User equipment UE 102 can also comprise IOTdevices that communicate wirelessly.

In various embodiments, system 100 is or comprises a wirelesscommunication network serviced by one or more wireless communicationnetwork providers. In example embodiments, a UE 102 can becommunicatively coupled to the wireless communication network via anetwork node 104. The network node (e.g., network node device) cancommunicate with user equipment (UE), thus providing connectivitybetween the UE and the wider cellular network. The UE 102 can sendtransmission type recommendation data to the network node 104. Thetransmission type recommendation data can comprise a recommendation totransmit data via a closed loop MIMO mode and/or a rank-1 precoder mode.

A network node can have a cabinet and other protected enclosures, anantenna mast, and multiple antennas for performing various transmissionoperations (e.g., MIMO operations). Network nodes can serve severalcells, also called sectors, depending on the configuration and type ofantenna. In example embodiments, the UE 102 can send and/or receivecommunication data via a wireless link to the network node 104. Thedashed arrow lines from the network node 104 to the UE 102 representdownlink (DL) communications and the solid arrow lines from the UE 102to the network nodes 104 represents an uplink (UL) communication.

System 100 can further include one or more communication serviceprovider networks 106 that facilitate providing wireless communicationservices to various UEs, including UE 102, via the network node 104and/or various additional network devices (not shown) included in theone or more communication service provider networks 106. The one or morecommunication service provider networks 106 can include various types ofdisparate networks, including but not limited to: cellular networks,femto networks, picocell networks, microcell networks, internet protocol(IP) networks Wi-Fi service networks, broadband service network,enterprise networks, cloud based networks, and the like. For example, inat least one implementation, system 100 can be or include a large scalewireless communication network that spans various geographic areas.According to this implementation, the one or more communication serviceprovider networks 106 can be or include the wireless communicationnetwork and/or various additional devices and components of the wirelesscommunication network (e.g., additional network devices and cell,additional UEs, network server devices, etc.). The network node 104 canbe connected to the one or more communication service provider networks106 via one or more backhaul links 108. For example, the one or morebackhaul links 108 can comprise wired link components, such as a T1/E1phone line, a digital subscriber line (DSL) (e.g., either synchronous orasynchronous), an asymmetric DSL (ADSL), an optical fiber backbone, acoaxial cable, and the like. The one or more backhaul links 108 can alsoinclude wireless link components, such as but not limited to,line-of-sight (LOS) or non-LOS links which can include terrestrialair-interfaces or deep space links (e.g., satellite communication linksfor navigation).

Wireless communication system 100 can employ various cellular systems,technologies, and modulation modes to facilitate wireless radiocommunications between devices (e.g., the UE 102 and the network node104). While example embodiments might be described for 6G new radio (NR)systems, the embodiments can be applicable to any radio accesstechnology (RAT) or multi-RAT system where the UE operates usingmultiple carriers e.g. LTE FDD/TDD, GSM/GERAN, CDMA2000 etc.

For example, system 100 can operate in accordance with global system formobile communications (GSM), universal mobile telecommunications service(UMTS), long term evolution (LTE), LTE frequency division duplexing (LTEFDD, LTE time division duplexing (TDD), high speed packet access (HSPA),code division multiple access (CDMA), wideband CDMA (WCMDA), CDMA2000,time division multiple access (TDMA), frequency division multiple access(FDMA), multi-carrier code division multiple access (MC-CDMA),single-carrier code division multiple access (SC-CDMA), single-carrierFDMA (SC-FDMA), orthogonal frequency division multiplexing (OFDM),discrete Fourier transform spread OFDM (DFT-spread OFDM) single carrierFDMA (SC-FDMA), Filter bank based multi-carrier (FBMC), zero tailDFT-spread-OFDM (ZT DFT-s-OFDM), generalized frequency divisionmultiplexing (GFDM), fixed mobile convergence (FMC), universal fixedmobile convergence (UFMC), unique word OFDM (UW-OFDM), unique wordDFT-spread OFDM (UW DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like. However,various features and functionalities of system 100 are particularlydescribed wherein the devices (e.g., the UEs 102 and the network node104) of system 100 are configured to communicate wireless signals usingone or more multi carrier modulation schemes, wherein data symbols canbe transmitted simultaneously over multiple frequency subcarriers (e.g.,OFDM, CP-OFDM, DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments areapplicable to single carrier as well as to multicarrier (MC) or carrieraggregation (CA) operation of the UE. The term carrier aggregation (CA)is also called (e.g. interchangeably called) “multi-carrier system”,“multi-cell operation”, “multi-carrier operation”, “multi-carrier”transmission and/or reception. Note that some embodiments are alsoapplicable for Multi RAB (radio bearers) on some carriers (that is dataplus speech is simultaneously scheduled).

Referring now to FIG. 2, illustrated is an example schematic systemblock diagram of a mobile network architecture according to one or moreembodiments. FIG. 2 depicts a system 200 for augmented reality usingcrowd sourced propagation media and location data in accordance withvarious aspects described in this disclosure. The system 200 cancomprise a network 202 (e.g., system 100) and an extrapolation component204. The extrapolation component 204 can determine a location of avehicle 218 via a UE location component 208. Crowd sourced data, frommobile devices 212A, 212B, 212C, 212D, 212E, 212F can comprise locationdata of the mobile devices 212A, 212B, 212C, 212D, 212E, 212F and media(e.g., pictures, video, sounds, etc.) associated therewith.Additionally, the crowd-sourced data can be sent directly to theextrapolation component 204 or sent to the network 202 (via the networknode 104) to be forwarded to the extrapolation component 204.

The extrapolation component 204 can also comprise an analysis component206 that can analyze the crowd-sourced data to determine viability andrelevancy to an augmented reality display generated based on the crowdsourced data. For example, if the analysis component 206 determines thatsome media is redundant, it can delete additional copies of theredundant media to generate efficiencies. In other cases the analysiscomponent 206 can determine that not enough crowd-sourced media has beenreceived and can prompt the mobile devices 212A, 212B, 212C, 212D, 212E,212F to submit such media. The updating component 210 can then send thecombined data back to the network 202 and/or the vehicle 218 tofacilitate generating an augmented reality display representative of theextrapolated data for the vehicle 218 or for other vehicles.

The analysis component 206 can calculate, identify, or otherwisedetermine a media and location accuracy. For example, in oneimplementation, the analysis component 206 can determine if certainmedia overlaps (e.g., the same or similar pictures with the same orsimilar location tag). If the media does overlap, then the analysiscomponent 206 can generate probability data representative of a greaterprobability that the media is accurate. This probability data can thenbe used to generate an augmented reality representation.

The location component 208 can acquire, determine, or otherwise receivea location, speed, time, and/or direction of the mobile devices 212A,212B, 212C, 212D, 212E, 212F, and/or an object the mobile devices haveperceived. For example, a set of location based services (LBS) can beemployed to determine the mobile devices 212A, 212B, 212C, 212D, 212E,212F location. The set of LBS can include but are not limited to globalpositioning systems (GPS), and/or assisted global positing systems(AGPS). For instance, the network 202 can request the mobile devices212A, 212B, 212C, 212D, 212E, 212F to employ an AGPS associated with themobile device 212A to determine a location of the mobile device 212A orthe object (e.g., vehicle 218) it is generating media for or hasgenerated media for. In response to the request, the mobile device 212Acan provide a set of AGPS measurements, and the location component 208can receive the set of AGPS measurements, e.g., via the network 202. TheAGPS measurements can provide a fixed reference point (e.g., latitudeand longitude) that can be used to facilitate a determination of alocation of an access point of the mobile device 212A or the vehicle218.

The combination component 209 combines, joins, or otherwise includes themobile device location in a set of location data. In addition, thecombination component 209 can append, attach, or otherwise associate atime stamp and/or mobile device identifier to the set of location data.For example, media from the mobile device 212A and the location receivedat a first time (e.g., 6:00 AM on Apr. 4, 2019) can be included in afirst set of location data, and a time stamp corresponding to the firsttime and/or an identifier of the mobile device 212A can be associatedwith the first set of location data.

The combination component 210 can combine and/or prioritize thecrowd-sourced data received from the mobile devices 212A, 212B, 212C,212D, 212E, 212F. For example, multiple pictures of a vehicle 218 (e.g.,an object) can be combined via the combination component 209. It shouldbe noted that the mobile devices 212A, 212B, 212C, 212D, 212E, 212F canbe vehicles, cellular phones, tablets, etc. It should also be noted thatlocation data of the mobile devices 212A, 212B, 212C, 212D, 212E, 212Fcan be stored at the location database 216. For example, in someinstances, stationary video cameras can provide their location to theextrapolation component 204 so that media generated by the stationarycameras can also be considered for updating an augmented realitydisplay. Thus media from the mobile devices 212A, 212B, 212C, 212D,212E, 212F and stationary devices can be used to increase the accuracyof the system. It should also be noted that the location database 216can be internal or external to the extrapolation component 204. It canbe appreciated that although the sets of location data are illustratedas being maintained in a data store 216, such implementation is not solimited. For example, the sets of location data can be maintained in adifferent location, and the network node 104 can access the sets oflocation data via a network connection.

Referring now to FIG. 3, illustrated is an example schematic systemblock 300 diagram of network slicing according to one or moreembodiments.

An abstraction layer can separate the physical radios and logical viewof the radio network. Thus various radio resources from various radiotechnologies can be utilized. The logical view and access can allow anSDN controller to make intelligent decisions based on the conditions,radio technology, and what slice to use to deliver a service based onapplication requirements. Additional access technology/resources, suchas macro access technology (e.g., eNode B) and micro access technologies(e.g., Wi-Fi, wireless local area network (WLAN), low-power wide areanetwork (LPWAN), long range (LoRa), radio access network (RAN)s,Bluetooth peer-to-peer network, metro cell, etc.), can be added toaddress access uniformity issues.

Network slices 304 can be created to address specific needs of servicecalls, or transport, or access capability. Thus, the access network canbe divided by slices to separately address multiple needs. The slice ofan access layer can be vertical or horizontal and can manage a definednumber of radios with various frequencies and various capabilities. Forexample, an access slice can comprise a resource management function308, a radio control function 306, and other capabilities to aid aspecific function. The resource management function 308 can determine,for the radio controller function 306, how many resources it needs,which can depend on what type of service it is using. The service cancommunicate to the access layer what kind of bandwidth it is lookingfor, which can be controlled by the SDN controller 302.

6G network slicing capabilities can enable edge computing of thereceived GPS latitude and longitude, by either instantiating a dedicatedslice or reusing an existing slice to enable allocation of details aboutthe moving object (e.g., vehicle 218) by accessing the informationgathered via the GPS enabled participants. By utilizing a dedicatedslice, existing resources such as traffic cameras, drones, and otheravailable resources can be enabled to participate in confirmation andcontribute additional measurement data to more precisely locate themoving object. The network slice can be dedicated for a specific networkfunction (e.g., extended reality, augmented reality, and/or virtualreality) to manage and allocate network resources.

The resource management function 308, on a slice, can access informationon the resources of a particular slice and decide where it hasadditional and/or unused resources (e.g., Wi-Fi, LPWAN, accesscapability) that it can add to the service application. Alternatively,the resource management function 308 can remove capacity from otherservice applications that are of a lessor priority and/or that do notneed as much capacity. Consequently, the resource management function308 can distribute and/or allocate a specific resource and/or percentageof resources based on policies (e.g., policies associated with eNode Bdevices, service level agreements, priorities, network loads, etc.).

Referring now to FIG. 4, illustrated is an example system 400 forcommunication to facilitate augmented reality according to one or moreembodiments. In one embodiment, as depicted by FIG. 4, a vehicle 218Acan be seen by the mobile device 212A and another vehicle 404. Themobile device 212A and the other vehicle 404 can then send media data tothe network node 104. The media data can comprise time, location,direction, and/or speed of the vehicle 218A. As mentioned above, theextrapolation component 204 can then process and store this data so thatit can be transmitted to yet another vehicle 402 as an augmented realityrepresentation 218B of the vehicle 404. Consequently, the vehicle 404can display the augmented reality representation 218B. The display cancontinually be updated by the extrapolation component 204 as theextrapolation component 204 receives additional data from othervehicles, mobile devices, and/or stationary devices capable ofgenerating media. The augmented reality service can be provided by aspecific network slice for augmented reality services. It should also benoted that the vehicle 404 can utilize data received from the networknode 104 to generate its own augmented reality representation 218B.

Referring now to FIG. 5, illustrated is an example flow diagram tofacilitate augmented reality according to one or more embodiments. Atblock 500, the location component 208 of the extrapolation component 204can receive location data associated with a location of mobile devices212 and/or stationary devices. The extrapolation component 204 can alsoreceived location, speed, and/or direction data related to an object(e.g., vehicle 218A) to be represented via the augmented realityrepresentation 218B. The analysis component 206 can analyze both sets ofreceived data to determine a validity of the data. For example, the moredata received from various mobile devices 212 and/or stationary devices,the higher probability that the data is accurate. The combinationcomponent 209 can then combine the received data to facilitate theaugmented reality representation 218B. The updating component 210 canthen provide this data to a requesting vehicle 402 based upon a receivedservice request at block 506. The system can then determine if a networkslice has previously been used for the augmented reality service atblock 508. If the augmented reality service has already be provided tothe vehicle 402, then an existing network slice can be used to providethe augmented reality services at block 512. However, if the networkslice has not previously provided the augmented reality service, then anetwork slice can be instantiated at block 510 to provide the augmentedreality service.

Referring now to FIG. 6, illustrated is an example flow diagram of amethod for facilitating augmented reality according to one or moreembodiments. At element 600, a method can comprise generating (e.g., viathe vehicle 404) first object data representative of a first location ofan object sensed by a vehicle. In response to the generating, the methodcan comprise transmitting (e.g., via the vehicle 404) the first objectdata to a wireless network device to facilitate an augmented realityrepresentation of the object at element 602. Additionally, in responseto the transmitting, the method can comprise receiving (e.g., via thevehicle 404) second object data representative of a second location ofthe object from the wireless network device at element 604. Furthermore,at element 606, based on the receiving the second object data, themethod can comprise generating (e.g., via the vehicle 404) augmentedreality data representative of the second location of the object.

Referring now to FIG. 7, illustrated is an example flow diagram of asystem for facilitating augmented reality according to one or moreembodiments. At element 700, a system can facilitate receiving (e.g.,via the extrapolation component 204), from mobile devices 212A, 212B,212C of a wireless network, description data associated with an objectvisible to the mobile devices. In response to the receiving thedescription data, the system can facilitate generating augmented realitydata (e.g., via the extrapolation component 204) representative of theobject at element 702. Furthermore, in response to the generating theaugmented reality data, at element 704, the system can facilitatesending (e.g., via the extrapolation component 204) the augmentedreality data to a mobile device 212A, of the mobile devices 212A, 212B,212C to facilitate an augmented reality display representative of theobject by the mobile device 212A.

Referring now to FIG. 8, illustrated is an example flow diagram of amachine-readable medium for facilitating augmented reality according toone or more embodiments. At element 800, a machine-readable storagemedium can perform the operations comprising receiving (e.g., via theextrapolation component 204), from wireless network devices of awireless network, image data associated with an object visible to thewireless network devices. Based on a condition associated with a numberof the wireless network devices being determined to have been satisfied,the machine-readable storage medium can perform the operationscomprising determining (e.g., via the analysis 206 component 204) anaccuracy of the image data at element 802. Additionally, in response tothe determining the accuracy of the image data, the machine-readablestorage medium can perform the operations comprising facilitatingdisplaying (e.g., via the updating component 210) a virtual realityrepresentation of the object via a wireless network device (e.g., themobile device 212A) of the wireless network devices at element 804.

Referring now to FIG. 9, illustrated is an example block diagram of anexample mobile handset 900 operable to engage in a system architecturethat facilitates wireless communications according to one or moreembodiments described herein. Although a mobile handset is illustratedherein, it will be understood that other devices can be a mobile device,and that the mobile handset is merely illustrated to provide context forthe embodiments of the various embodiments described herein. Thefollowing discussion is intended to provide a brief, general descriptionof an example of a suitable environment in which the various embodimentscan be implemented. While the description includes a general context ofcomputer-executable instructions embodied on a machine-readable storagemedium, those skilled in the art will recognize that this disclosurealso can be implemented in combination with other program modules and/oras a combination of hardware and software.

Generally, applications (e.g., program modules) can include routines,programs, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Moreover, thoseskilled in the art will appreciate that the methods described herein canbe practiced with other system configurations, includingsingle-processor or multiprocessor systems, minicomputers, mainframecomputers, as well as personal computers, hand-held computing devices,microprocessor-based or programmable consumer electronics, and the like,each of which can be operatively coupled to one or more associateddevices.

A computing device can typically include a variety of machine-readablemedia. Machine-readable media can be any available media that can beaccessed by the computer and includes both volatile and non-volatilemedia, removable and non-removable media. By way of example and notlimitation, computer-readable media can comprise computer storage mediaand communication media. Computer storage media can include volatileand/or non-volatile media, removable and/or non-removable mediaimplemented in any method or technology for storage of information, suchas computer-readable instructions, data structures, program modules, orother data. Computer storage media can include, but is not limited to,RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM,digital video disk (DVD) or other optical disk storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to store thedesired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions,data structures, program modules, or other data in a modulated datasignal such as a carrier wave or other transport mechanism, and includesany information delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in the signal. By way of example,and not limitation, communication media includes wired media such as awired network or direct-wired connection, and wireless media such asacoustic, RF, infrared and other wireless media. Combinations of the anyof the above should also be included within the scope ofcomputer-readable media.

The handset includes a processor 902 for controlling and processing allonboard operations and functions. A memory 904 interfaces to theprocessor 902 for storage of data and one or more applications 906(e.g., a video player software, user feedback component software, etc.).Other applications can include voice recognition of predetermined voicecommands that facilitate initiation of the user feedback signals. Theapplications 906 can be stored in the memory 904 and/or in a firmware908, and executed by the processor 902 from either or both the memory904 or/and the firmware 908. The firmware 908 can also store startupcode for execution in initializing the handset 900. A communicationscomponent 910 interfaces to the processor 902 to facilitatewired/wireless communication with external systems, e.g., cellularnetworks, VoIP networks, and so on. Here, the communications component910 can also include a suitable cellular transceiver 911 (e.g., a GSMtransceiver) and/or an unlicensed transceiver 913 (e.g., Wi-Fi, WiMax)for corresponding signal communications. The handset 900 can be a devicesuch as a cellular telephone, a PDA with mobile communicationscapabilities, and messaging-centric devices. The communicationscomponent 910 also facilitates communications reception from terrestrialradio networks (e.g., broadcast), digital satellite radio networks, andInternet-based radio services networks.

The handset 900 includes a display 912 for displaying text, images,video, telephony functions (e.g., a Caller ID function), setupfunctions, and for user input. For example, the display 912 can also bereferred to as a “screen” that can accommodate the presentation ofmultimedia content (e.g., music metadata, messages, wallpaper, graphics,etc.). The display 912 can also display videos and can facilitate thegeneration, editing and sharing of video quotes. A serial I/O interface914 is provided in communication with the processor 902 to facilitatewired and/or wireless serial communications (e.g., USB, and/or IEEE1394) through a hardwire connection, and other serial input devices(e.g., a keyboard, keypad, and mouse). This can support updating andtroubleshooting the handset 900, for example. Audio capabilities areprovided with an audio I/O component 916, which can include a speakerfor the output of audio signals related to, for example, indication thatthe user pressed the proper key or key combination to initiate the userfeedback signal. The audio I/O component 916 also facilitates the inputof audio signals through a microphone to record data and/or telephonyvoice data, and for inputting voice signals for telephone conversations.

The handset 900 can include a slot interface 918 for accommodating a SIC(Subscriber Identity Component) in the form factor of a card SubscriberIdentity Module (SIM) or universal SIM 920, and interfacing the SIM card920 with the processor 902. However, it is to be appreciated that theSIM card 920 can be manufactured into the handset 900, and updated bydownloading data and software.

The handset 900 can process IP data traffic through the communicationscomponent 910 to accommodate IP traffic from an IP network such as, forexample, the Internet, a corporate intranet, a home network, a personarea network, etc., through an ISP or broadband cable provider. Thus,VoIP traffic can be utilized by the handset 900 and IP-based multimediacontent can be received in either an encoded or decoded format.

A video processing component 922 (e.g., a camera) can be provided fordecoding encoded multimedia content. The video processing component 922can aid in facilitating the generation, editing, and sharing of videoquotes. The handset 900 also includes a power source 924 in the form ofbatteries and/or an AC power subsystem, which power source 924 caninterface to an external power system or charging equipment (not shown)by a power I/O component 926.

The handset 900 can also include a video component 930 for processingvideo content received and, for recording and transmitting videocontent. For example, the video component 930 can facilitate thegeneration, editing and sharing of video quotes. A location trackingcomponent 932 facilitates geographically locating the handset 900. Asdescribed hereinabove, this can occur when the user initiates thefeedback signal automatically or manually. A user input component 934facilitates the user initiating the quality feedback signal. The userinput component 934 can also facilitate the generation, editing andsharing of video quotes. The user input component 934 can include suchconventional input device technologies such as a keypad, keyboard,mouse, stylus pen, and/or touchscreen, for example.

Referring again to the applications 906, a hysteresis component 936facilitates the analysis and processing of hysteresis data, which isutilized to determine when to associate with the access point. Asoftware trigger component 938 can be provided that facilitatestriggering of the hysteresis component 936 when the Wi-Fi transceiver913 detects the beacon of the access point. A SIP client 940 enables thehandset 900 to support SIP protocols and register the subscriber withthe SIP registrar server. The applications 906 can also include a client942 that provides at least the capability of discovery, play and storeof multimedia content, for example, music.

The handset 900, as indicated above related to the communicationscomponent 910, includes an indoor network radio transceiver 913 (e.g.,Wi-Fi transceiver). This function supports the indoor radio link, suchas IEEE 802.11, for the dual-mode GSM handset 900. The handset 900 canaccommodate at least satellite radio services through a handset that cancombine wireless voice and digital radio chipsets into a single handhelddevice.

Referring now to FIG. 10, illustrated is an example block diagram of anexample computer 1000 operable to engage in a system architecture thatfacilitates wireless communications according to one or more embodimentsdescribed herein. The computer 1000 can provide networking andcommunication capabilities between a wired or wireless communicationnetwork and a server (e.g., Microsoft server) and/or communicationdevice. In order to provide additional context for various aspectsthereof, FIG. 10 and the following discussion are intended to provide abrief, general description of a suitable computing environment in whichthe various aspects of this disclosure can be implemented to facilitatethe establishment of a transaction between an entity and a third party.While the description above is in the general context ofcomputer-executable instructions that can run on one or more computers,those skilled in the art will recognize that this disclosure also can beimplemented in combination with other program modules and/or as acombination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the inventive methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, as well as personalcomputers, hand-held computing devices, microprocessor-based orprogrammable consumer electronics, and the like, each of which can beoperatively coupled to one or more associated devices.

The illustrated aspects of this disclosure can also be practiced indistributed computing environments where certain tasks are performed byremote processing devices that are linked through a communicationsnetwork. In a distributed computing environment, program modules can belocated in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable storage media or communications media, whichtwo terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, RAM, ROM, EEPROM, flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD) or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible and/or non-transitorymedia which can be used to store desired information. Computer-readablestorage media can be accessed by one or more local or remote computingdevices, e.g., via access requests, queries or other data retrievalprotocols, for a variety of operations with respect to the informationstored by the medium.

Communications media can embody computer-readable instructions, datastructures, program modules or other structured or unstructured data ina data signal such as a modulated data signal, e.g., a carrier wave orother transport mechanism, and includes any information delivery ortransport media. The term “modulated data signal” or signals refers to asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in one or more signals. By way ofexample, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference to FIG. 10, implementing various aspects described hereinwith regards to the end-user device can include a computer 1000, thecomputer 1000 including a processing unit 1004, a system memory 1006 anda system bus 1008. The system bus 1008 couples system componentsincluding, but not limited to, the system memory 1006 to the processingunit 1004. The processing unit 1004 can be any of various commerciallyavailable processors. Dual microprocessors and other multi-processorarchitectures can also be employed as the processing unit 1004.

The system bus 1008 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1006includes read-only memory (ROM) 1027 and random access memory (RAM)1012. A basic input/output system (BIOS) is stored in a non-volatilememory 1027 such as ROM, EPROM, EEPROM, which BIOS contains the basicroutines that help to transfer information between elements within thecomputer 1000, such as during start-up. The RAM 1012 can also include ahigh-speed RAM such as static RAM for caching data.

The computer 1000 further includes an internal hard disk drive (HDD)1014 (e.g., EIDE, SATA), which internal hard disk drive 1014 can also beconfigured for external use in a suitable chassis (not shown), amagnetic floppy disk drive (FDD) 1016, (e.g., to read from or write to aremovable diskette 1018) and an optical disk drive 1020, (e.g., readinga CD-ROM disk 1022 or, to read from or write to other high capacityoptical media such as the DVD). The hard disk drive 1014, magnetic diskdrive 1016 and optical disk drive 1020 can be connected to the systembus 1008 by a hard disk drive interface 1024, a magnetic disk driveinterface 1026 and an optical drive interface 1028, respectively. Theinterface 1024 for external drive implementations includes at least oneor both of Universal Serial Bus (USB) and IEEE 1394 interfacetechnologies. Other external drive connection technologies are withincontemplation of the subject disclosure.

The drives and their associated computer-readable media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1000 the drives and mediaaccommodate the storage of any data in a suitable digital format.Although the description of computer-readable media above refers to aHDD, a removable magnetic diskette, and a removable optical media suchas a CD or DVD, it should be appreciated by those skilled in the artthat other types of media which are readable by a computer 1000, such aszip drives, magnetic cassettes, flash memory cards, cartridges, and thelike, can also be used in the exemplary operating environment, andfurther, that any such media can contain computer-executableinstructions for performing the methods of the disclosure.

A number of program modules can be stored in the drives and RAM 1012,including an operating system 1030, one or more application programs1032, other program modules 1034 and program data 1036. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1012. It is to be appreciated that this disclosure canbe implemented with various commercially available operating systems orcombinations of operating systems.

A user can enter commands and information into the computer 1000 throughone or more wired/wireless input devices, e.g., a keyboard 1038 and apointing device, such as a mouse 1040. Other input devices (not shown)can include a microphone, an IR remote control, a joystick, a game pad,a stylus pen, touchscreen, or the like. These and other input devicesare often connected to the processing unit 1004 through an input deviceinterface 1042 that is coupled to the system bus 1008, but can beconnected by other interfaces, such as a parallel port, an IEEE 1394serial port, a game port, a USB port, an IR interface, etc.

A monitor 1044 or other type of display device is also connected to thesystem bus 1008 through an interface, such as a video adapter 1046. Inaddition to the monitor 1044, a computer 1000 typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1000 can operate in a networked environment using logicalconnections by wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1048. The remotecomputer(s) 1048 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentdevice, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer,although, for purposes of brevity, only a memory/storage device 1050 isillustrated. The logical connections depicted include wired/wirelessconnectivity to a local area network (LAN) 1052 and/or larger networks,e.g., a wide area network (WAN) 1054. Such LAN and WAN networkingenvironments are commonplace in offices and companies, and facilitateenterprise-wide computer networks, such as intranets, all of which canconnect to a global communications network, e.g., the Internet.

When used in a LAN networking environment, the computer 1000 isconnected to the local network 1052 through a wired and/or wirelesscommunication network interface or adapter 1056. The adapter 1056 canfacilitate wired or wireless communication to the LAN 1052, which canalso include a wireless access point disposed thereon for communicatingwith the wireless adapter 1056.

When used in a WAN networking environment, the computer 1000 can includea modem 1058, or is connected to a communications server on the WAN1054, or has other means for establishing communications over the WAN1054, such as by way of the Internet. The modem 1058, which can beinternal or external and a wired or wireless device, is connected to thesystem bus 1008 through the input device interface 1042. In a networkedenvironment, program modules depicted relative to the computer, orportions thereof, can be stored in the remote memory/storage device1050. It will be appreciated that the network connections shown areexemplary and other means of establishing a communications link betweenthe computers can be used.

The computer is operable to communicate with any wireless devices orentities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, any piece of equipment or locationassociated with a wirelessly detectable tag (e.g., a kiosk, news stand,restroom), and telephone. This includes at least Wi-Fi and Bluetooth™wireless technologies. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from acouch at home, in a hotel room, or a conference room at work, withoutwires. Wi-Fi is a wireless technology similar to that used in a cellphone that enables such devices, e.g., computers, to send and receivedata indoors and out; anywhere within the range of a base station. Wi-Finetworks use radio technologies called IEEE 802.11 (a, b, g, etc.) toprovide secure, reliable, fast wireless connectivity. A Wi-Fi networkcan be used to connect computers to each other, to the Internet, and towired networks (which use IEEE 802.3 or Ethernet). Wi-Fi networksoperate in the unlicensed 2.4 and 5 GHz radio bands, at an 7 Mbps(802.11a) or 54 Mbps (802.11b) data rate, for example, or with productsthat contain both bands (dual band), so the networks can providereal-world performance similar to the basic 16BaseT wired Ethernetnetworks used in many offices.

An aspect of 5G, which differentiates from previous 4G systems, is theuse of NR. NR architecture can be designed to support multipledeployment cases for independent configuration of resources used forRACH procedures. Since the NR can provide additional services than thoseprovided by LTE, efficiencies can be generated by leveraging the prosand cons of LTE and NR to facilitate the interplay between LTE and NR,as discussed herein.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics can be combined in any suitable manner in one or moreembodiments.

As used in this disclosure, in some embodiments, the terms “component,”“system,” “interface,” and the like are intended to refer to, orcomprise, a computer-related entity or an entity related to anoperational apparatus with one or more specific functionalities, whereinthe entity can be either hardware, a combination of hardware andsoftware, software, or software in execution, and/or firmware. As anexample, a component can be, but is not limited to being, a processrunning on a processor, a processor, an object, an executable, a threadof execution, computer-executable instructions, a program, and/or acomputer. By way of illustration and not limitation, both an applicationrunning on a server and the server can be a component.

One or more components can reside within a process and/or thread ofexecution and a component can be localized on one computer and/ordistributed between two or more computers. In addition, these componentscan execute from various computer readable media having various datastructures stored thereon. The components can communicate via localand/or remote processes such as in accordance with a signal having oneor more data packets (e.g., data from one component interacting withanother component in a local system, distributed system, and/or across anetwork such as the Internet with other systems via the signal). Asanother example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry, which is operated by a software application orfirmware application executed by one or more processors, wherein theprocessor can be internal or external to the apparatus and can executeat least a part of the software or firmware application. As yet anotherexample, a component can be an apparatus that provides specificfunctionality through electronic components without mechanical parts,the electronic components can comprise a processor therein to executesoftware or firmware that confer(s) at least in part the functionalityof the electronic components. In an aspect, a component can emulate anelectronic component via a virtual machine, e.g., within a cloudcomputing system. While various components have been illustrated asseparate components, it will be appreciated that multiple components canbe implemented as a single component, or a single component can beimplemented as multiple components, without departing from exampleembodiments.

In addition, the words “example” and “exemplary” are used herein to meanserving as an instance or illustration. Any embodiment or designdescribed herein as “example” or “exemplary” is not necessarily to beconstrued as preferred or advantageous over other embodiments ordesigns. Rather, use of the word example or exemplary is intended topresent concepts in a concrete fashion. As used in this application, theterm “or” is intended to mean an inclusive “or” rather than an exclusive“or.” That is, unless specified otherwise or clear from context, “Xemploys A or B” is intended to mean any of the natural inclusivepermutations. That is, if X employs A; X employs B; or X employs both Aand B, then “X employs A or B” is satisfied under any of the foregoinginstances. In addition, the articles “a” and “an” as used in thisapplication and the appended claims should generally be construed tomean “one or more” unless specified otherwise or clear from context tobe directed to a singular form.

Moreover, terms such as “mobile device equipment,” “mobile station,”“mobile,” subscriber station,” “access terminal,” “terminal,” “handset,”“communication device,” “mobile device” (and/or terms representingsimilar terminology) can refer to a wireless device utilized by asubscriber or mobile device of a wireless communication service toreceive or convey data, control, voice, video, sound, gaming orsubstantially any data-stream or signaling-stream. The foregoing termsare utilized interchangeably herein and with reference to the relateddrawings. Likewise, the terms “access point (AP),” “Base Station (BS),”BS transceiver, BS device, cell site, cell site device, “Node B (NB),”“evolved Node B (eNode B),” “home Node B (HNB)” and the like, areutilized interchangeably in the application, and refer to a wirelessnetwork component or appliance that transmits and/or receives data,control, voice, video, sound, gaming or substantially any data-stream orsignaling-stream from one or more subscriber stations. Data andsignaling streams can be packetized or frame-based flows.

Furthermore, the terms “device,” “communication device,” “mobiledevice,” “subscriber,” “customer entity,” “consumer,” “customer entity,”“entity” and the like are employed interchangeably throughout, unlesscontext warrants particular distinctions among the terms. It should beappreciated that such terms can refer to human entities or automatedcomponents supported through artificial intelligence (e.g., a capacityto make inference based on complex mathematical formalisms), which canprovide simulated vision, sound recognition and so forth.

Embodiments described herein can be exploited in substantially anywireless communication technology, comprising, but not limited to,wireless fidelity (Wi-Fi), global system for mobile communications(GSM), universal mobile telecommunications system (UMTS), worldwideinteroperability for microwave access (WiMAX), enhanced general packetradio service (enhanced GPRS), third generation partnership project(3GPP) long term evolution (LTE), third generation partnership project 2(3GPP2) ultra mobile broadband (UMB), high speed packet access (HSPA),Z-Wave, Zigbee and other 802.XX wireless technologies and/or legacytelecommunication technologies.

The various aspects described herein can relate to New Radio (NR), whichcan be deployed as a standalone radio access technology or as anon-standalone radio access technology assisted by another radio accesstechnology, such as Long Term Evolution (LTE), for example. It should benoted that although various aspects and embodiments have been describedherein in the context of 5G, Universal Mobile Telecommunications System(UMTS), and/or Long Term Evolution (LTE), or other next generationnetworks, the disclosed aspects are not limited to 5G, a UMTSimplementation, and/or an LTE implementation as the techniques can alsobe applied in 3G, 4G, or LTE systems. For example, aspects or featuresof the disclosed embodiments can be exploited in substantially anywireless communication technology. Such wireless communicationtechnologies can include UMTS, Code Division Multiple Access (CDMA),Wi-Fi, Worldwide Interoperability for Microwave Access (WiMAX), GeneralPacket Radio Service (GPRS), Enhanced GPRS, Third Generation PartnershipProject (3GPP), LTE, Third Generation Partnership Project 2 (3GPP2)Ultra Mobile Broadband (UMB), High Speed Packet Access (HSPA), EvolvedHigh Speed Packet Access (HSPA+), High-Speed Downlink Packet Access(HSDPA), High-Speed Uplink Packet Access (HSUPA), Zigbee, or anotherIEEE 802.XX technology. Additionally, substantially all aspectsdisclosed herein can be exploited in legacy telecommunicationtechnologies.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationprocedures and/or systems (e.g., support vector machines, neuralnetworks, expert systems, Bayesian belief networks, fuzzy logic, anddata fusion engines) can be employed in connection with performingautomatic and/or inferred action in connection with the disclosedsubject matter.

In addition, the various embodiments can be implemented as a method,apparatus, or article of manufacture using standard programming and/orengineering techniques to produce software, firmware, hardware, or anycombination thereof to control a computer to implement the disclosedsubject matter. The term “article of manufacture” as used herein isintended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, machine-readable media,computer-readable (or machine-readable) storage/communication media. Forexample, computer-readable media can comprise, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media. Of course, thoseskilled in the art will recognize many modifications can be made to thisconfiguration without departing from the scope or spirit of the variousembodiments.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the subject matter has been described herein inconnection with various embodiments and corresponding figures, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

What is claimed is:
 1. A method, comprising: generating, by a vehiclecomprising a processor, first object data representative of a firstlocation of an object sensed by the vehicle; in response to generatingthe first object data, transmitting, by the vehicle, the first objectdata to network equipment to facilitate an augmented realityrepresentation of the object; in response to transmitting the firstobject data, receiving, by the vehicle, second object datarepresentative of a second location of the object from the networkequipment; in response to receiving the second object data, determining,by the vehicle, that a threshold amount of media has not been satisfied,wherein the media comprises a sound file; in response to determiningthat the threshold amount of the media has not been satisfied,prompting, by the vehicle, a user equipment to transmit the media; andbased on receiving the second object data, generating, by the vehicle,augmented reality data representative of the second location of theobject.
 2. The method of claim 1, further comprising: in response togenerating the augmented reality data, displaying, by the vehicle, anicon representative of the vehicle.
 3. The method of claim 1, furthercomprising: determining, by the vehicle, that the second object data hasbeen previously received by the vehicle.
 4. The method of claim 1,wherein the augmented reality data is first augmented reality data, andwherein generating the first augmented reality data comprises generatingsecond augmented reality data representative of the first location ofthe object.
 5. The method of claim 1, wherein generating the augmentedreality data is a function of a characteristic of a network slicededicated to an augmented reality function.
 6. The method of claim 1,wherein generating the augmented reality data comprises applying adefined color to the augmented reality representation of the object. 7.The method of claim 1, wherein the vehicle is a first vehicle, andfurther comprising: sending, by the first vehicle, the augmented realitydata to a second vehicle.
 8. A system, comprising: a processor; and amemory that stores executable instructions that, when executed by theprocessor, facilitate performance of operations, comprising: based onfirst description data associated with an object visible to a userequipment, generating augmented reality data representative of theobject; in response to generating the augmented reality data, sendingthe augmented reality data to the user equipment, to facilitate anaugmented reality display representative of the object by the userequipment; in response to sending the augmented reality data, receiving,from the user equipment, second description data representative of alocation of the object in relation to the user equipment; in response toreceiving the second description data, determining that the seconddescription data is identical to the first description data; receivingmedia data representative of media comprising a sound file; in responseto receiving the media data, determining that a threshold amount of themedia has not been satisfied; and in response to determining that thethreshold amount of the media has not been satisfied, prompting the userequipment to transmit the media.
 9. The system of claim 8, wherein thefirst description data comprises a location associated with the object.10. The system of claim 8, wherein generating the augmented reality datato the user equipment is based on a location of the user equipment. 11.The system of claim 8, wherein the operations further comprise: based ona type of the object visible to the user equipment, modifying theaugmented reality display.
 12. The system of claim 8, wherein theoperations further comprise: modifying a color of the augmented realitydisplay.
 13. The system of claim 8, wherein the first description datacomprises geo-tag data representative of a geographic location of theobject.
 14. The system of claim 8, wherein the operations furthercomprise: receiving, from the user equipment via a network, the firstdescription data associated with the object visible to the userequipment.
 15. A non-transitory machine-readable medium, comprisingexecutable instructions that, when executed by a processor, facilitateperformance of operations, comprising: based on a condition associatedwith network equipment being determined to have been satisfied,determining an accuracy of image data associated with an object visibleto the network equipment; and in response to determining the accuracy ofthe image data, displaying a virtual reality representation of theobject via equipment of the network equipment; in response to thedisplaying, receiving, from the network equipment, description datarepresentative of a location of the object in relation to the networkequipment; in response to receiving the description data, determiningthat the description data is a same as previously received descriptiondata; receiving sound file data representative of a sound file; based onthe sound file data, determining that a threshold amount of the soundfile has not been satisfied; and in response to determining that thethreshold amount of the sound file has not been satisfied, prompting theequipment to transmit the sound file.
 16. The non-transitorymachine-readable medium of claim 15, wherein the operations furthercomprise: allocating a network slice of a network to a virtual realityfunction to be utilized by the network equipment.
 17. The non-transitorymachine-readable medium of claim 15, wherein the operations furthercomprise: based on determining that the description data is the same asthe previously received description data, deleting the description datato increase a defined processing efficiency from a first efficiency to asecond efficiency greater than the first efficiency.
 18. Thenon-transitory machine-readable medium of claim 15, wherein the imagedata comprises timestamp data representative of a time associated withwhen the object was visible to the equipment.
 19. The non-transitorymachine-readable medium of claim 15, wherein the operations furthercomprise: generating prediction data representative of a prediction of adirection in which the object is predicted to travel.
 20. Thenon-transitory machine-readable medium of claim 15, wherein theequipment of the network equipment is first network equipment, andwherein the displaying of the virtual reality representation comprisesdisplaying the virtual reality representation via second networkequipment that is not part of the first network equipment.